AI IN EDUCATION: ADVANCING PERSONALIZED LEARNING WHILE NAVIGATING ETHICAL FRONTIERS

Abstract

The educational landscape is being swiftly transformed by artificial intelligence, which offers new approaches to improving student results, streamlining administrative duties, and personalizing learning. Applications of AI in education, including automated grading, intelligent tutoring systems, and customized learning environments, are examined in this chapter. Data privacy, algorithmic bias, and the evolving role of educators are just a few of the ethical issues and difficulties brought on by AI. The chapter highlights the necessity of providing equal access to AI-powered tools and the significance of resolving these moral dilemmas in order to guarantee responsible AI deployment. The chapter concludes by expressing expectations for advancements in collaborative learning, lifelong learning, and emotionally intelligent AI systems in the field of education. By utilizing AI's potential and tackling its drawbacks, education can become more efficient, individualized, and inclusive.